On Time-Variant Distortions in Multicarrier Transmission with Application to Frequency Offsets and Phase Noise

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages (twocolumn), 5 figures

Scientific paper

10.1109/TCOMM.2005.855010

Phase noise and frequency offsets are due to their time-variant behavior one of the most limiting disturbances in practical OFDM designs and therefore intensively studied by many authors. In this paper we present a generalized framework for the prediction of uncoded system performance in the presence of time-variant distortions including the transmitter and receiver pulse shapes as well as the channel. Therefore, unlike existing studies, our approach can be employed for more general multicarrier schemes. To show the usefulness of our approach, we apply the results to OFDM in the context of frequency offset and Wiener phase noise, yielding improved bounds on the uncoded performance. In particular, we obtain exact formulas for the averaged performance in AWGN and time-invariant multipath channels.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On Time-Variant Distortions in Multicarrier Transmission with Application to Frequency Offsets and Phase Noise does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with On Time-Variant Distortions in Multicarrier Transmission with Application to Frequency Offsets and Phase Noise, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On Time-Variant Distortions in Multicarrier Transmission with Application to Frequency Offsets and Phase Noise will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-238577

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.